Planning time-optimal and smooth trajectories under kinodynamic constraints
Planning a time-optimized, smooth, and collision-free trajectory for robot manipulators subject to kinodynamic constraints is vital to increase the productivity of automation systems in the industry. With the benefit of a recent approach to Time-Optimal Path Parametrization based on Reachability Ana...
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2021
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sg-ntu-dr.10356-1506982021-06-02T06:55:57Z Planning time-optimal and smooth trajectories under kinodynamic constraints Edgar, Leonardo Pham Quang Cuong School of Mechanical and Aerospace Engineering Robotics Research Centre cuong@ntu.edu.sg Engineering::Mechanical engineering::Robots Planning a time-optimized, smooth, and collision-free trajectory for robot manipulators subject to kinodynamic constraints is vital to increase the productivity of automation systems in the industry. With the benefit of a recent approach to Time-Optimal Path Parametrization based on Reachability Analysis (TOPP-RA), which is proven to be efficient and robust, this paper proposes a shortcutting heuristic that uses TOPP-RA to produce a fast yet smooth trajectory while satisfying the robot’s kinodynamic constraints. The algorithm is deployed to a four-degree-of-freedom Barrett Whole-Arm Manipulator in OpenRAVE. It is compared to the state-of-the-art shortcutting method based on parabolas and straight lines. The results show that the proposed shortcutting algorithm is robust and capable of producing efficient trajectories while satisfying the robot’s kinodynamic constraints. Bachelor of Engineering (Mechanical Engineering) 2021-06-02T06:55:57Z 2021-06-02T06:55:57Z 2021 Final Year Project (FYP) Edgar, L. (2021). Planning time-optimal and smooth trajectories under kinodynamic constraints. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150698 https://hdl.handle.net/10356/150698 en C062 application/pdf Nanyang Technological University |
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Engineering::Mechanical engineering::Robots Edgar, Leonardo Planning time-optimal and smooth trajectories under kinodynamic constraints |
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Planning a time-optimized, smooth, and collision-free trajectory for robot manipulators subject to kinodynamic constraints is vital to increase the productivity of automation systems in the industry. With the benefit of a recent approach to Time-Optimal Path Parametrization based on Reachability Analysis (TOPP-RA), which is proven to be efficient and robust, this paper proposes a shortcutting heuristic that uses TOPP-RA to produce a fast yet smooth trajectory while satisfying the robot’s kinodynamic constraints. The algorithm is deployed to a four-degree-of-freedom Barrett Whole-Arm Manipulator in OpenRAVE. It is compared to the state-of-the-art shortcutting method based on parabolas and straight lines. The results show that the proposed shortcutting algorithm is robust and capable of producing efficient trajectories while satisfying the robot’s kinodynamic constraints. |
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Pham Quang Cuong |
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Pham Quang Cuong Edgar, Leonardo |
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Final Year Project |
author |
Edgar, Leonardo |
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Edgar, Leonardo |
title |
Planning time-optimal and smooth trajectories under kinodynamic constraints |
title_short |
Planning time-optimal and smooth trajectories under kinodynamic constraints |
title_full |
Planning time-optimal and smooth trajectories under kinodynamic constraints |
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Planning time-optimal and smooth trajectories under kinodynamic constraints |
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Planning time-optimal and smooth trajectories under kinodynamic constraints |
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planning time-optimal and smooth trajectories under kinodynamic constraints |
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Nanyang Technological University |
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2021 |
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https://hdl.handle.net/10356/150698 |
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1702431302124306432 |